Us

Usability Testing Exchange

Hacker News

Usability Testing Exchange

You get free usability testing of, and feedback about, your website/web-app, here: https://usability.testing.exchange This is a side project where you'll learn about problems people encounter with your website/app, and what makes them confused. Then you can improve your website/app. Normally, you get back as much testing & feedback as you give to others. However, I and some freelancers want to promote UTX. Therefore, you do not need to do any testing yourself in exchange, right now. (But you can if you want and it's fun :-)). So you can submit your website & get UX testing and feedback for free & no work. How is it different from other free feedback exchange websites? — It's focus is usability testing , rather than giving advice & suggestions. And you can choose how much UX testing & feedback you want, about your own project: Do more UX testing yourself + write more detailed feedback to others —> you'll get more UX testing & feedback back, yourself — about as much as you gave (counted in the total sum of Math.log(the-length-of-each-feedback)). All thoughts and feedback is welcome

Visit product View on Hacker NewsJul 9, 2017

Actual performance

2points

Did not reach leaderboard

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TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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